Google Cloud Professional Practice Exam
The Google Cloud Professional Certification exam is designed to equip participants with the skills and knowledge needed to become proficient in cloud computing with the Google Cloud Platform (GCP). Participants will learn how to design, deploy, and manage scalable and reliable cloud solutions using GCP services and tools. The exam covers essential concepts, architectures, best practices, and hands-on exercises to prepare participants for the Google Cloud Professional Certification exam. Whether you're a cloud architect, developer, system administrator, or IT professional, this exam provides a comprehensive foundation for success in leveraging GCP for cloud-based applications and services.
Skills Required
- Basic understanding of cloud computing concepts and principles.
- Familiarity with networking, storage, and compute technologies.
- Proficiency in using command-line interfaces (CLI) and infrastructure as code (IaC) tools.
- Experience with software development, deployment, and DevOps practices.
- Strong problem-solving and troubleshooting skills for cloud-based environments.
Who should take the exam
- Cloud architects and engineers responsible for designing and implementing cloud solutions on GCP.
- Developers seeking to build and deploy applications on GCP infrastructure and services.
- System administrators and IT professionals tasked with managing GCP resources and environments.
- Technical leaders and decision-makers evaluating GCP for cloud migration or adoption.
- Anyone interested in earning the Google Cloud Professional Certification and advancing their career in cloud computing.
Course Outline
The Google Cloud Professional exam covers the following topics :-
Module 1: Introduction to Google Cloud Platform (GCP)
- Overview of cloud computing and the benefits of using GCP for cloud-based solutions.
- Understanding GCP services and products, including computing, storage, networking, and databases.
- Setting up a GCP account, project, and billing to get started with GCP services.
Module 2: GCP Infrastructure Services
- Exploring GCP infrastructure services such as Compute Engine, Kubernetes Engine, and App Engine.
- Understanding virtual machines, containers, and serverless computing options on GCP.
- Deploying and managing applications and workloads on GCP infrastructure services.
Module 3: GCP Storage Solutions
- Overview of GCP storage services, including Cloud Storage, Cloud SQL, and Cloud Bigtable.
- Understanding storage classes, durability, and availability options for different use cases.
- Implementing data storage, backup, and retrieval solutions using GCP storage services.
Module 4: GCP Networking and Security
- Understanding GCP networking concepts, including Virtual Private Cloud (VPC) and subnets.
- Implementing network security controls such as firewalls, SSL/TLS encryption, and IAM policies.
- Configuring network connectivity and VPNs for secure communication between GCP resources.
Module 5: GCP Data Services
- Overview of GCP data services, including BigQuery, Dataflow, and Dataproc.
- Understanding data processing, analytics, and machine learning capabilities on GCP.
- Building data pipelines, processing streams, and analyzing data using GCP data services.
Module 6: GCP Management and Monitoring
- Using GCP management tools such as Cloud Console, Cloud Shell, and Cloud SDK.
- Monitoring and logging GCP resources and services using Stackdriver Monitoring and Logging.
- Setting up alerts, notifications, and automated responses for managing GCP environments.
Module 7: GCP Deployment and Automation
- Automating deployment and management tasks using Infrastructure as Code (IaC) tools such as Terraform and Deployment Manager.
- Implementing continuous integration and continuous deployment (CI/CD) pipelines with Google Cloud Build and Cloud Source Repositories.
- Leveraging containerization and orchestration technologies such as Docker and Kubernetes for scalable and resilient deployments.
Module 8: GCP Identity and Access Management (IAM)
- Understanding IAM principles and best practices for managing access control in GCP.
- Configuring roles, permissions, and service accounts to enforce least privilege access.
- Implementing identity federation, multi-factor authentication (MFA), and other security controls for GCP resources.
Module 9: GCP Cost Management and Optimization
- Monitoring and optimizing GCP resource usage and costs using Billing reports and cost analysis tools.
- Implementing cost-saving strategies such as rightsizing, instance scheduling, and resource consolidation.
- Estimating and forecasting GCP costs for budgeting and planning purposes.
Module 10: GCP Case Studies and Best Practices
- Reviewing real-world case studies and success stories of organizations leveraging GCP for cloud solutions.
- Analyzing best practices, architectural patterns, and design considerations for building scalable and resilient GCP deployments.
- Applying lessons learned from case studies and best practices to optimize GCP solutions and achieve business objectives.